DocumentCode :
2656561
Title :
An improved method of endpoints detection based on energy-frequency-value
Author :
Guanghua, Chen ; Junhai, Liu ; Jun, Ye
Author_Institution :
Microelectron. R&D Center, Shanghai Univ.
fYear :
2006
fDate :
27-28 June 2006
Firstpage :
9
Lastpage :
11
Abstract :
It is very important to detect the speech endpoints accurately in speech recognition. This paper presents an improved method of endpoints detection based on the product of energy and frequency. The method uses energy-frequency-value as threshold to detect endpoints of speech signal, and induces the upper limit of length threshold and the lower limit of length threshold of speech signal, so that the improved method can detect speech endpoints by adapting the threshold to the strength of background noise automatically. The simulation results show that the method is more accurate and more anti-noise than the traditional one based on energy and frequency
Keywords :
speech processing; speech recognition; background noise; endpoints detection; energy-frequency-value; speech recognition; speech signal; Adaptive signal detection; Arithmetic; Background noise; Frequency; Isolation technology; Microelectronics; Signal processing; Signal to noise ratio; Speech enhancement; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Density Microsystem Design and Packaging and Component Failure Analysis, 2006. HDP'06. Conference on
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0488-6
Type :
conf
DOI :
10.1109/HDP.2006.1707556
Filename :
1707556
Link To Document :
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